EP2166675B1 - Verfahren und einrichtung zur vorverarbeitung von in einem kommunikationssystem mit mehreren eingängen zu übertragenden daten - Google Patents

Verfahren und einrichtung zur vorverarbeitung von in einem kommunikationssystem mit mehreren eingängen zu übertragenden daten Download PDF

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EP2166675B1
EP2166675B1 EP07721102.7A EP07721102A EP2166675B1 EP 2166675 B1 EP2166675 B1 EP 2166675B1 EP 07721102 A EP07721102 A EP 07721102A EP 2166675 B1 EP2166675 B1 EP 2166675B1
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Prior art keywords
matrix
beamforming
coding
generate
communication system
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EP2166675A4 (de
EP2166675A1 (de
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Xiaolong Zhu
Hongwei Yang
Liyu Cai
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Alcatel Lucent SAS
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Alcatel Lucent SAS
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0417—Feedback systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/0413—MIMO systems
    • H04B7/0456—Selection of precoding matrices or codebooks, e.g. using matrices antenna weighting
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0617—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal for beam forming
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0613—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission
    • H04B7/0615—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal
    • H04B7/0619—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station using simultaneous transmission of weighted versions of same signal using feedback from receiving side
    • H04B7/0636—Feedback format
    • H04B7/0639—Using selective indices, e.g. of a codebook, e.g. pre-distortion matrix index [PMI] or for beam selection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H04B7/0686—Hybrid systems, i.e. switching and simultaneous transmission
    • H04B7/0689—Hybrid systems, i.e. switching and simultaneous transmission using different transmission schemes, at least one of them being a diversity transmission scheme

Definitions

  • the present invention relates to the field of communication technology and, more particularly, to a method and apparatus for pre-processing data to be transmitted in a multiple-input communication system, and a transmitter, base station, and communication system comprising the apparatus.
  • a traditional wireless communication system usually employs a single transmit antenna and a single receive antenna, i.e., a so-called single-input single-output (SISO) communication system.
  • SISO single-input single-output
  • RF radio-frequency
  • characteristics of the transmission path often vary with time due to several factors like fading and multi-channel.
  • channel capacity of the traditional single-input single-output communication system is subjected to an insurmountable bottleneck, namely Shannon capacity restriction.
  • Fig. 1 illustrates a schematic view of a MIMO communication system in the prior art.
  • the MIMO communication system usually comprises a transmitter with a number (N T ) of transmit antennas, located at a base station, and a receiver with a number (N R ) of receive antennas, located at a mobile terminal.
  • MIMO channels formed of the N T number of transmit antennas and the N R number of receive antennas can be decomposed into an N s number of individual sub-channels, in which N s ⁇ min ⁇ N T , N R ⁇ .
  • Each of the N s number of individual sub-channels is further termed a control sub-channel of MIMO communication system and corresponds to one-dimensional space.
  • the MIMO system can provide improved performance, such as increased transmission capacity.
  • individual data flows can be respectively transmitted on the N s control sub-channels, so that utilization efficiency of spectrum is increased.
  • the MIMO communication system when compared with the traditional SISO communication system, can increase capacity of the communication system and utilization efficiency of spectrum by times without adding bandwidth.
  • MIMO technique has become one of key techniques that will be used by the new and next-generation mobile communication systems.
  • WLAN IEEE802.11n
  • WiMAX IEEE802.16d and IEEE802.16e
  • IEEE802.20 IEEE802.22, 3GPP Release 7, and 3GPP Release 8 (LTE)
  • LTE 3GPP Release 8
  • the mobile terminal is configured with fewer antennas and RF channels than the base station, e.g., two transmit or receive antennas at the mobile terminal while four transmit or receive antennas at the base station.
  • the existing enhancement techniques can be classified into two major categories: open-loop ones and closed-loop ones.
  • the transmitter does not utilize MIMO channel information but directly transmits input data from itself to the receiver over MIMO channels.
  • the open-loop enhancement technique comprises space-time coding (STC) technique and cyclic delay diversity (CDD) technique.
  • the transmitter has a prior knowledge of all or part of channel information and exploits the information to improve system performance.
  • the transmitter pre-processes input data by using channel information or user location information and transmits the pre-processed data to the receiver through a plurality of transmit antenna diversities.
  • the receiver receives the transmitted data over receive antennas, processes and outputs the received data.
  • the closed-loop MIMO enhancement technique outperforms the open-loop MIMO enhancement technique.
  • the closed-loop MIMO enhancement technique comprises beamforming MIMO technique and pre-coding MIMO technique.
  • the beamforming MIMO technique generates beams with specific spatial orientation by using antennas, so as to enhance antenna gain and interference suppression gain.
  • the beamforming MIMO technique is based on different locations of a target user and interference users and steers the main beam to the target user while aiming the side lobe or nulling beam at the interference users. In this manner, the beamforming technique can effectively reduce negative impact exerted by interference.
  • Fig. 2 illustrates a block diagram of a MIMO communication system in the prior art comprising a beamformer.
  • a coder 11 performs channel coding, constellation modulation, and MIMO coding on input data in order to form one or multiple-channel coded data.
  • the coded data are input to a beamformer 12.
  • beamforming matrix generation means 13 generates a beamforming matrix for each transmit antenna and each channel of coded data according to information like direction of arrival (DOA) and provides the generated beamforming matrix to the beamformer 12.
  • the beamformer 12 weights and sums the coded data by using the beamforming matrix, i.e., first weights each channel of coded data by a beamforming vector, and then sums the obtained weighted results of all channels of coded data for each transmit antenna as transmitted data corresponding to this transmit antenna.
  • the coded data which have been weighted and summed are transmitted over transmit antennas.
  • receive antennas receive the transmitted data.
  • MIMO detection means 14 processes and outputs the received data.
  • the transmitter can configure MIMO transmission parameters in advance according to instantaneous or long-term MIMO channel information and through matrix coding, so that data are respectively transmitted over individual sub-channels, and diversity gain is achieved.
  • the transmitter obtain MIMO channel information according to symmetry of uplink and downlink channels of the communication system or feedback channels.
  • Fig. 3 illustrates a block diagram of a MIMO communication system in the prior art comprising a pre-coder. As illustrated in Fig. 3 , a coder 21 performs channel coding, constellation modulation, and MIMO coding on input data in order to form one or multiple-channel coded data. Next, the coded data are input to a pre-coder 22.
  • pre-coding matrix generation means 23 generates a pre-coding matrix according to estimated channel matrix information for example and provides the generated pre-coding matrix to the pre-coder 22.
  • the pre-coder 22 pre-codes the coded data by using the generated pre-coding matrix, i.e., first weights each channel of coded data by a pre-coding vector, and then sums the obtained weighted results of all channels of coded data for each transmit antenna as transmitted data corresponding to this transmit antenna.
  • the pre-coded data are transmitted over individual sub-channels over transmit antennas.
  • receive antennas receive the transmitted data.
  • MIMO detection means 24 processes and outputs the received data.
  • pre-coding MIMO technique can reduce negative impact of channel fading or spatial correlation of channels on the MIMO communication system, thereby providing diversity gain.
  • the pre-coding MIMO technique has no interference suppression gain capability, so it is rather deficient in strong interference environments, such as a MIMO communication system with a frequency reuse factor of 1.
  • the existing beamforming MIMO technique has fine interference suppression capability, it cannot provide sufficient diversity gain.
  • the existing pre-coding MIMO technique provides fine diversity gain to eliminate negative impact of channel fading or spatial correlation, it cannot effectively combat interference. Therefore, neither the beamforming MIMO technique nor the pre-coding MIMO technique can achieve the best overall performance in application environments where the interference level may diverge greatly.
  • US 2004/0066761 A1 discloses space time coding using estimated channel information, wherein distinct stages for implementing space time block coding and beamforming are employed at a transmitter.
  • US 2007/0049218 A1 discloses a method for enhancing performance in a wireless communication environment which includes receiving a user preference for a transmission mode, associating the user preference with an entry or entries in a code book, and assigning the user to a transmission mode corresponding to the entry or entries.
  • An object of the present invention is to provide a method and device for pre-processing data to be transmitted in a multiple-input communication system, which can provide the best overall performance to the communication system even in application environments where the interference level may diverge greatly.
  • the present invention provides, by combining the existing beamforming MIMO technique and the existing pre-coding MIMO technique, a flexible solution for configuring a pre-processing weight matrix at the front end of MIMO such that the communication system can achieve the best overall performance.
  • beamforming weighted vectors are generated according to estimated location information of a target user and/or interference users, and the beamforming weighted vectors are arranged in order to generate a beamforming matrix.
  • the plurality of beamforming weighted vectors is arranged in a column order to generate the beamforming matrix. If the dimension of the beamforming weighted vector is less than the number of transmit antennas, zero is filled at a specific location of the beamforming weighted vector to generate weighted vectors with the dimension equal to the number of transmit antennas, and the weighted vectors are arranged in a column order to generate the beamforming matrix.
  • the location information is the direction of arrival.
  • a pre-coding matrix is generated according to long-term channel information.
  • the long-term channel information may be the covariance matrix or mean matrix of channels.
  • a pre-coding matrix is generated according to an instantaneous channel matrix.
  • a pre-coding matrix is generated according to long-term channel information and an instantaneous channel matrix.
  • a pre-coding matrix is selected as an identity matrix or a certain submatrix formed by part of column vectors of an identity matrix.
  • a is selected to be close or equal to 1
  • b is selected to be close or equal to 0.
  • a is selected to be close or equal to 0, and b is selected to be close or equal to 1.
  • values of a and b are selected such that 0 ⁇ a ⁇ 1 and 0 ⁇ b ⁇ 1.
  • values of a and b are selected such that a > b.
  • values of a and b are selected such that a ⁇ b.
  • the multiple-input communication system is a multiple-input single-output communication system.
  • the multiple-input communication system is a multiple-input multiple-output communication system.
  • the beamforming matrix generation means generates beamforming weighted vectors according to estimated location information of a target user and/or interference users, and arranges the plurality of beamforming weighted vectors in order to generate a beamforming matrix.
  • the plurality of beamforming weighted vectors is arranged in a column order to generate the beamforming matrix. If the dimension of the beamforming weighted vector is less than the number of transmit antennas, zero is filled at a specific location of the beamforming weighted vector to generate weighted vectors with the dimension equal to the number of transmit antennas, and the weighted vectors are arranged in a column order to generate the beamforming matrix.
  • the location information is the direction of arrival.
  • the pre-coding matrix generation means generates a pre-coding matrix according to long-term channel information, wherein the long-term channel information may be the covariance matrix or mean matrix of channels.
  • the pre-coding matrix generation means generates a pre-coding matrix according to an instantaneous channel matrix.
  • the pre-coding matrix generation means generates a pre-coding matrix according to long-term channel information and an instantaneous channel matrix.
  • a transmitter which comprises the above-described device for pre-processing data to be transmitted in a multiple-input communication system.
  • a base station which comprises the above-described transmitter.
  • a communication system which comprises the above-described base station.
  • the inventive solution integrates the beamforming MIMO technique and the pre-coding MIMO technique. In this way, the inventive solution combines the advantages of both beamforming and pre-coding MIMO techniques and thus can be used in wider applications.
  • the multiple-input communication system is a communication system having a number (N T ) of transmit antennas and one or more (N R ) receive antennas.
  • the multiple-input communication system comprises, for example, a multiple-input single-output (MISO) communication system, a multiple-input multiple-output (MIMO) communication system, a MIMO communication system utilizing orthogonal frequency-division multiplexing (OFDM), a MIMO communication system utilizing space division multiple access (SDMA), etc.
  • MISO multiple-input single-output
  • MIMO multiple-input multiple-output
  • OFDM orthogonal frequency-division multiplexing
  • SDMA space division multiple access
  • the basic principle of the present invention is to use a combination of a beamforming matrix and a pre-coding matrix for integrating the beamforming MIMO technique and the pre-coding MIMO technique and to determine a form of the combination by dynamically estimating the interference level at the base station.
  • beamforming and pre-coding follow different principles, both of them process transmitted signals by using specific transformations, i.e., a beamforming matrix or a pre-coding matrix. Therefore, beamforming and pre-coding can be unified from the perspective of signal processing.
  • Fig. 4 illustrates a block diagram of a MIMO communication system according to the present invention.
  • the MIMO communication system according to the present invention comprises a coder 31, pre-processing means 32, weight matrix generation means 33, and a plurality of transmit antennas N T on the transmitter side.
  • the MIMO communication system according to the present invention further comprises a plurality of receive antennas N R and MIMO detection means 34 on the receiver side.
  • the block surrounded by dashed lines in Fig. 4 depicts a device for pre-processing data to be transmitted in a multiple-input communication system according to the present invention.
  • the coder 31 performs channel coding, constellation modulation, and MIMO coding over input data in order to provide one or more channels of coded data.
  • the pre-processing means 32 receives the coded data and a weight matrix for pre-processing from the weight matrix generation means 33 and pre-processes the received coded data by using the weight matrix.
  • the pre-processed coded data are transmitted over the N T number of transmit antennas.
  • data transmitted over MIMO channels are received over the NR number of receive antennas.
  • the MIMO detection means 34 processes and outputs the received data.
  • the pre-processing means 32, and the MIMO detection means 34 are well known in the art, details thereof are omitted hereby.
  • Fig. 5 illustrates a detailed block diagram of the weight matrix generation means 33 in Fig. 4 .
  • the weight matrix generation means 33 according to the present invention comprises pre-coding matrix generation means 331, beamforming matrix generation means 332, and combination means 333.
  • the pre-coding matrix generation means 331 generates a pre-coding matrix according to obtained channel information, wherein the channel information can be obtained by means of symmetry of uplink and downlink channels of a communication system or feedback channels.
  • the pre-coding matrix generation means 331 can generate a pre-coding matrix by using various pre-coding matrix generating method that are available at present or in future. For example, methods for generating a pre-coding matrix as disclosed in Chinese Patent Applications CN1756119A , CN1890908 , CN1832369 , CN 1838556 , CN1941660 , and CN1941661 can be used in the present invention.
  • the beamforming matrix generation means 332 generates a beamforming matrix according to obtained location information (e.g., direction of arrival) of a target user and/or interference users.
  • beamforming weighted vectors can be obtained by using various beamforming weighted vector generating methods that are available at present or in future.
  • a plurality of beamforming weighted vectors is arranged in order to generate a beamforming matrix.
  • the beamforming matrix is obtained simply by arranging the plurality of beamforming weighted vectors in a predetermined order.
  • the dimension of the beamforming weighted vector is less than the number of transmit antennas, zero is filled at a specific location of the beamforming weighted vector, and subsequently these extended weighted vectors with the dimension equal to the number of transmit antennas are arranged in a column order so as to generate the beamforming matrix.
  • methods for generating beamforming weighted vectors as disclosed in Chinese Patent Applications CN1653721 , CN1689249 , CN1864347 , and CN1835416 .
  • the combination means 333 combines the pre-coding matrix generated by the pre-coding matrix generation means 331 and the beamforming matrix generated by the beamforming matrix generation means 332 to generate a weight matrix and provides the generated weight matrix to the pre-processing means 32 for pre-processing.
  • the operation of the combination means 333 will be described in detail later.
  • a method for pre-processing data to be transmitted in a multiple-input communication system according to the present invention is described below in conjunction with Figs. 6 and 7 .
  • Fig. 6 illustrates a flowchart of a method for pre-processing data to be transmitted in a multiple-input communication system according to the present invention.
  • the weight matrix generation means 33 generates a weight matrix for pre-processing.
  • the pre-processing means 32 pre-processes coded data by using the weight matrix generated in step S11, to generate pre-processed coded data for transmission over N T transmit antennas.
  • Fig. 7 illustrates detailed steps of generating a weight matrix for pre-processing according to the present invention.
  • the beamforming matrix generation means 332 generates a beamforming matrix in step S111.
  • the beamforming matrix generation means 332 generates beamforming weighted vectors according to obtained location information of a target user and/or interference users, and at the same time, the plurality of beamforming weighted vectors are arranged in order to generate a beamforming matrix. If the dimension of the beamforming weighted vector is equal to the number of transmit antennas, the beamforming matrix is generated simply by arranging the plurality of beamforming weighted vectors in a column order.
  • the dimension of the beamforming weighted vector is less than the number of transmit antennas, first zero is filled at a specific location of the beamforming weighted vector, and subsequently these extended weighted vectors with the dimension equal to the number of transmit antennas are arranged in a column order to generate the beamforming matrix.
  • the beamforming matrix is generated according to the estimated direction of arrival of a target user and/or interference users.
  • step S112 the pre-coding matrix generation means 331 generates a pre-coding matrix.
  • the pre-coding matrix generation means 331 generates a pre-coding matrix according to a channel matrix fed back from the receiver or a channel matrix obtained according to symmetry of uplink and downlink channels of the communication system. More preferably, a pre-coding matrix can be generated according to an instantaneous channel matrix or long-term channel information.
  • step S112 if an instantaneous channel matrix is not available, then the pre-coding matrix is calculated based on, for example, long-term channel information or a means matrix or covariance matrix of transmission channels.
  • step S112 if an instantaneous channel matrix is obtained with high accuracy, then the pre-coding matrix is calculated based on the instantaneous channel matrix. For example, the pre-coding matrix is generated based on an instantaneous channel matrix accurately fed back from the receiver. In the codebook-based pre-coding scheme, the pre-coding matrix can be generated based on the feedback index of the codeword in a predefined codebook.
  • step S112 if the long-term channel information is not available, and the instantaneous channel information is not available or its accuracy is very poor, then the pre-coding matrix is selected as an identity matrix or a certain submatrix formed by part of column vectors of an identity matrix.
  • step S113 the combination means 333 combines the pre-coding matrix generated by the pre-coding matrix generation means 331 and the beamforming matrix generated by the beamforming matrix generation means 332, to generate a weight matrix.
  • a is selected to be close or equal to 1
  • b is selected to be close or equal to 0, so that the largest interference suppression gain, i.e., beamforming gain, is achieved.
  • W is close or equal to B.
  • a is selected to be close or equal to 0, and b is selected to be close or equal to 1, so that the largest pre-coding gain is achieves.
  • W is close or equal to P.
  • values of a and b are selected such that 0 ⁇ a ⁇ 1 and 0 ⁇ b ⁇ 1. Generally, if more beamforming gain is required than pre-coding gain, then a > b, whereas a ⁇ b if more pre-coding gain is required than beamforming gain.
  • An advantage of the present invention is that sufficient flexibility of combining the beamforming MIMO technique and the pre-coding MIMO technique is provided such that practical communication systems can achieve the best overall performance.
  • the method and device for pre-processing data to be transmitted in a multiple-input communication system which have been described above, can be implemented in various forms, for example, implemented in hardware, software or a combination thereof.
  • the present invention can be implemented as an application-specific integrated circuit ASIC, a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a processor, a controller, a micro-processor or a micro-controller.
  • DSP digital signal processor
  • DSPD digital signal processing device
  • PLD programmable logic device
  • FPGA field programmable gate array
  • processor a controller, a micro-processor or a micro-controller.
  • a signal carrier medium may be a transmission medium or a recordable medium used for machine readable information, including a magnetic medium, optical medium or other proper medium.
  • Examples of a recordable medium include a magnetic disc or floppy in a hard disc drive, an optical disc for an optical drive, a magnetic tape, and other medium those skilled in the art would conceive.
  • Examples of a transmission medium include a telephony network for voice communication and a digital data communication network like the Ethernet and a network in communication with the World Wide Web over the Internet Protocol.
  • any communication device with proper programming means can perform steps of the method of the present invention as embodied in a program product for example.

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  • Computer Networks & Wireless Communication (AREA)
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Claims (14)

  1. Verfahren zur Vorverarbeitung von Daten, die in einem Kommunikationssystem mit mehreren Eingängen zu übertragen sind, wobei das Verfahren Folgendes umfasst: Erzeugen einer Beamforming-Matrix und einer Vorcodierungsmatrix, wobei die besagte Beamforming-Matrix gewichtete Beamforming-Vektoren gemäß geschätzten Ortsinformationen eines Zielbenutzers und/oder Störbenutzers umfasst, und wobei die besagte Vorcodierungsmatrix gemäß geschätzten Kanalmatrixinformationen erzeugt wird; lineares Kombinieren (S11) der Beamforming-Matrix und der Vorcodierungsmatrix gemäß einem gemessenen Störpegel, um eine Gewichtsmatrix zu erzeugen; und Vorverarbeiten (S12) der Daten durch Verwenden der erzeugten Gewichtsmatrix.
  2. Verfahren nach Anspruch 1, wobei eine Linearkombination an der Beamforming-Matrix und der Vorcodierungsmatrix gemäß der folgenden Formel durchgeführt wird, um die Gewichtsmatrix zu erzeugen: W = a × B + b × P
    Figure imgb0006
     wobei B die Beamforming-Matrix ist, P die Vorcodierungsmatrix ist, W die Gewichtsmatrix ist und a und b Konstanten sind, wobei die Werte von a und b gemäß dem gemessenen Störpegel ausgewählt werden.
  3. Verfahren nach Anspruch 1 oder 2, wobei gewichtete Beamforming-Vektoren gemäß geschätzten Ortsinformationen eines Zielbenutzers und/oder Störbenutzers erzeugt werden und die gewichteten Beamforming-Vektoren angeordnet sind, um eine Beamforming-Matrix zu erzeugen.
  4. Verfahren nach Anspruch 3, wobei, wenn die Dimension des gewichteten Beamforming-Vektors gleich ist wie die Anzahl von Sendeantennen, die gewichteten Beamforming-Vektoren in einer Spaltenreihenfolge angeordnet sind, um die Beamforming-Matrix zu erzeugen; und wenn die Dimension des gewichteten Beamforming-Vektors geringer ist als die Anzahl von Sendeantennen, null an einem bestimmten Ort des gewichteten Beamforming-Vektors eingefüllt wird, um gewichtete Vektoren zu erzeugen, deren Dimension gleich ist wie die Anzahl von Sendeantennen, und die gewichteten Vektoren in einer Spaltenreihenfolge angeordnet sind, um die Beamforming-Matrix zu erzeugen.
  5. Verfahren nach Anspruch 1 oder 2, wobei die Vorcodierungsmatrix gemäß langfristigen Kanalinformationen oder/und einer momentanen Kanalmatrix erzeugt wird, und wobei die langfristigen Kanalinformationen die Kovarianzmatrix oder der Mittelwert einer Matrix von Kanälen sind.
  6. Verfahren nach Anspruch 2, wobei, wenn der Störpegel sehr hoch ist, a so gewählt wird, dass es beinahe oder gleich 1 ist, und b so gewählt wird, dass es beinahe oder gleich 0 ist.
  7. Verfahren nach Anspruch 2, wobei, wenn der Störpegel sehr niedrig ist, a so gewählt wird, dass es beinahe oder gleich 0 ist, und b so gewählt wird, dass es beinahe oder gleich 1 ist.
  8. Verfahren nach Anspruch 2, wobei, wenn der Störpegel mittelmäßig ist, Werte von a und b so gewählt werden, dass 0<a<1 und 0<b<1.
  9. Verfahren nach Anspruch 8, wobei, wenn mehr Beamforming-Verstärkung erforderlich ist als Vorcodierungsverstärkung, Werte von a und b so gewählt werden, dass a > b.
  10. Verfahren nach Anspruch 8, wobei, wenn mehr Vorcodierungsverstärkung erforderlich ist als Beamforming-Verstärkung, Werte von a und b so gewählt werden, dass a < b.
  11. Vorrichtung zur Vorverarbeitung von Daten, die in einem Kommunikationssystem mit mehreren Eingängen zu übertragen sind, wobei die Vorrichtung Folgendes umfasst: Beamforming-Matrix-Erzeugungsmittel (332) zum Erzeugen einer Beamforming-Matrix, die gewichtete Beamforming-Vektoren gemäß geschätzten Ortsinformationen eines Zielbenutzers und/oder Störbenutzers umfasst; Vorcodierungsmatrix-Erzeugungsmittel (331) zum Erzeugen einer Vorcodierungsmatrix gemäß geschätzten Kanalmatrixinformationen; Kombinationsmittel (333) zum linearen Kombinieren der Beamforming-Matrix und der Vorcodierungsmatrix gemäß einem gemessenen Störpegel, um eine Gewichtsmatrix zu erzeugen; und Vorverarbeitungsmittel (32) zum Vorverarbeiten der Daten durch Verwenden der erzeugten Gewichtsmatrix.
  12. Vorrichtung nach Anspruch 11, wobei die Kombinationsmittel (333) eine Linearkombination an der Beamforming-Matrix und der Vorcodierungsmatrix gemäß der folgenden Formel durchführen, um die Gewichtsmatrix zu erzeugen: W = a × B + b × P
    Figure imgb0007
     wobei B die Beamforming-Matrix ist, P die Vorcodierungsmatrix ist, W die Gewichtsmatrix ist und a und b Konstanten sind, wobei die Werte von a und b gemäß dem gemessenen Störpegel ausgewählt werden.
  13. Vorrichtung nach Anspruch 11 oder 12, wobei das Beamforming-Matrix-Erzeugungsmittel (332) gewichtete Beamforming-Vektoren gemäß geschätzten Ortsinformationen eines Zielbenutzers und/oder Störbenutzers erzeugt und die Vielzahl von gewichteten Beamforming-Vektoren anordnet, um eine Beamforming-Matrix zu erzeugen.
  14. Vorrichtung nach Anspruch 13, wobei, wenn die Dimension des gewichteten Beamforming-Vektors gleich ist wie die Anzahl von Sendeantennen, die Vielzahl von gewichteten Beamforming-Vektoren in einer Spaltenreihenfolge angeordnet ist, um die Beamforming-Matrix zu erzeugen; und wenn die Dimension des gewichteten Beamforming-Vektors geringer ist als die Anzahl von Sendeantennen, null an einem bestimmten Ort des gewichteten Beamforming-Vektors eingefüllt wird, um gewichtete Vektoren zu erzeugen, deren Dimension gleich ist wie die Anzahl von Sendeantennen, und die gewichteten Vektoren in einer Spaltenreihenfolge angeordnet sind, um die Beamforming-Matrix zu erzeugen.
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